AI and LLM pipelines
FastAPI services that split long media, call Gemini or other models, merge results and run hundreds of jobs in parallel.
Python development
Python services for AI, machine learning and media pipelines.
Python is our language for AI-heavy work. We built a FastAPI pipeline that transcribes hours of Hebrew and Aramaic lectures at 99% precision, and machine learning services for chatbots, sentiment analysis and fraud alerts that plug into existing CRM and ERP systems.
What we build with Python
Where Python earns its place.
The kinds of work we use Python for, based on the projects below rather than a list of everything the technology can do.
Machine learning services
Models built with TensorFlow, PyTorch and scikit-learn for prediction, sentiment and anomaly detection, served behind clean APIs.
Media and data processing
FFmpeg-based processing, chunking and validation steps that turn raw files into structured, searchable output.
2 client projects
How Python fit into each project.
Which part of the system it ran, and what it worked with. Every row links to the full case study.
Transcribing Hebrew and Aramaic lectures at 99% precision with Gemini
BackendPython, FastAPI
Together withGoogle Vertex AI, Gemini Pro, Gemini Flash, Gemini Flash-Lite, FFmpeg, FFprobe
AI wired into CRM, ERP and support to cut manual work across operations
Backend · AIFastAPI, Flask, TensorFlow, PyTorch, Scikit-learn
Together withMongoDB, PostgreSQL, AWS SageMaker, Google Cloud AI, Docker, Kubernetes
Python case studies
Results from these projects.
Each one with the client’s problem, our approach and what changed.
Media and EdTech
AI2025
Media and EdTech
Transcribing Hebrew and Aramaic lectures at 99% precision with Gemini
A Kubernetes pipeline that turns hours of mixed-language lectures into timed transcripts, subtitles, summaries and HLS video.
99%precision on Hebrew and Aramaic
300+concurrent transcription jobs
AI2025–2026
Cross-industry
AI wired into CRM, ERP and support to cut manual work across operations
AI services connected to existing CRM, ERP and marketing tools: 24/7 chatbots, sentiment analysis, fraud alerts and predictive insights.
2xbusiness efficiency
80%data processing accuracy
Related services
Python is a tool. These are the jobs it does.
We do not sell hours of a technology. We take on a result, and choose the stack with you. These are the services where Python usually comes in.
Technologies
Other technologies we have shipped with.
Each one backed by at least one published client project.
Python FAQ
Python questions we hear.
Anything missing? Send us your question and an engineer will answer, usually within one business day.
Contact usDo you use Python only for AI?+
Mostly. For AI, ML and data processing Python has the best libraries. Business systems and APIs around it are usually .NET or Node.js, and we connect the two.
Which Python frameworks do you use?+
FastAPI for most services, Flask in older or smaller ones, and TensorFlow, PyTorch and scikit-learn for machine learning. Everything runs in Docker and, where volume requires it, on Kubernetes.
Can a Python AI service work with our existing systems?+
Yes. On the AI business automation project, Python services were connected to the client’s CRM, ERP and marketing tools so automation runs inside their current workflow.
Start a project
Tell us what you are building with Python. We come back with a plan and a price.
A spec, a Figma file or three paragraphs is enough to start.
- First reply · from an engineer, not a sales rep
- 30-min call · with Roman, our CTO, to clarify scope
- After the call · a written proposal with plan, team and price
Roman Oleksuk, CTOPrefer to talk? Pick a slot in Roman's calendar